Hasano20
/

BEiT_beit-base-finetuned-ade-640-640_Clean-Set1_RGB

@@ -1,199 +1,70 @@
 ---
-library_name: transformers
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-# Model Card for Model ID
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-## Model Details
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 ---
+base_model: beit-base-finetuned-ade-640-640
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: BEiT_beit-base-finetuned-ade-640-640_Clean-Set1_RGB
+  results: []
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# BEiT_beit-base-finetuned-ade-640-640_Clean-Set1_RGB
+This model is a fine-tuned version of [beit-base-finetuned-ade-640-640](https://huggingface.co/beit-base-finetuned-ade-640-640) on the Hasano20/Clean-Set1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0603
+- Mean Iou: 0.9672
+- Mean Accuracy: 0.9774
+- Overall Accuracy: 0.9930
+- Accuracy Background: 0.9961
+- Accuracy Melt: 0.9392
+- Accuracy Substrate: 0.9971
+- Iou Background: 0.9929
+- Iou Melt: 0.9207
+- Iou Substrate: 0.9879
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 20
+### Training results
+| Training Loss | Epoch   | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Melt | Accuracy Substrate | Iou Background | Iou Melt | Iou Substrate |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-------------:|:------------------:|:--------------:|:--------:|:-------------:|
+| 0.3924        | 5.5556  | 50   | 0.3038          | 0.9022   | 0.9499        | 0.9809           | 0.9854              | 0.8738        | 0.9906             | 0.9853         | 0.7493   | 0.9719        |
+| 0.0857        | 11.1111 | 100  | 0.0788          | 0.9656   | 0.9771        | 0.9931           | 0.9972              | 0.9377        | 0.9964             | 0.9939         | 0.9146   | 0.9883        |
+| 0.0816        | 16.6667 | 150  | 0.0603          | 0.9672   | 0.9774        | 0.9930           | 0.9961              | 0.9392        | 0.9971             | 0.9929         | 0.9207   | 0.9879        |
+### Framework versions
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json ADDED Viewed

	@@ -0,0 +1,86 @@

+{
+  "_name_or_path": "microsoft/beit-base-finetuned-ade-640-640",
+  "add_fpn": false,
+  "architectures": [
+    "BeitForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "background",
+    "1": "melt",
+    "2": "substrate"
+  },
+  "image_size": 640,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "background": 0,
+    "melt": 1,
+    "substrate": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage3",
+    "stage5",
+    "stage7",
+    "stage11"
+  ],
+  "out_indices": [
+    3,
+    5,
+    7,
+    11
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "reshape_hidden_states": true,
+  "segmentation_indices": [
+    3,
+    5,
+    7,
+    11
+  ],
+  "semantic_loss_ignore_index": 255,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": true,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

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